Digital Innovations in Oil and Gas with Geoffrey Cann

Motors are the quiet workhorses of industry. They drive pumps, fans, compressors, and heaters, and they consume more than sixty percent of the power in most industrial operations. When operators need to control motor speed, they historically relied on mechanical adjustments or trial-and-error testing to keep processes stable and safe.

As motors get larger and drive trains more complex, traditional testing approaches no longer work....

Canada's energy sector has long struggled with low productivity on the front line, as indeed the entire Canadian economy. Despite heroic efforts by tradespeople, their effectiveness is hamstrung by badly dated processes, old disconnected systems, and paper-based workflows.

The problem isn't the workers. It's that they're too often sent out with the wrong drawings, the wrong tools, the wrong permits, or even to the wrong location. M...

Oil and gas companies are finally confronting the huge communications and stakeholder challenge they face with their asset owners and stakeholders.

Production assets such as oil and gas wells almost always have many part owners (land owners, JV partners, interest-holders, trusts, first nations tribes). Managing these hundreds or thousands of parties across tens of thousands of wells is really demanding. These relationships are com...

Latin America is entering a period of rapid economic growth, urbanization, and industrial expansion. Unlike North America and Europe, where primary energy demand has been flat for more than a decade, the region's energy consumption is rising sharply. A young, increasingly urban population is pushing electricity and fuel demand higher, placing new pressure on infrastructure and supply.

This demand surge is colliding with a second gl...

Electricity powers nearly everything in oil and gas, from pumps and motors, to compressors and digital systems. But while production engineers obsess over volumes and temperatures, the quality of the electricity driving their systems is often overlooked. Most teams only discover power issues after equipment fails, leading to unplanned downtime and costly repairs.

Unfortunately, traditional power quality ...

In all my years of experience in energy, I rarely worked in pure regulatory areas, but regulations loomed large over everything I touched. The energy sector is very highly regulated, and for very good reasons. From environmental standards to carbon pricing, energy companies are held to a high standard and must demonstrate that compliance to operate locally, regionally, and globally.

The regulatory landscape is highly dynamic and un...

In the UK oil and gas sector, the record on major accidents looks encouraging. Serious incidents are very rare, and the industry appears to be operating safely.

Beneath the surface, the data tell a different story. One-third of safety inspections fall below the legal standard, and more than half of process-safety professionals are expected to retire within the next decade. At the same time, ageing assets, shrinking budgets, and wea...

Unconventional oil and gas is massive. Every year, over $100 billion is poured into steel, sand, and water just in Canada and the US. Yet, most of the planning behind these extraordinary investments still runs on Excel spreadsheets. Spreadsheets were fine in the 90s, but today they struggle to handle the complex interdependencies and real-world constraints of modern tight plays.

The hidden cost to the industry is huge. Expensive in...

Oil and gas operations rely on heavy machinery and equipment that perform critical tasks, yet most of this equipment remains disconnected from the digital landscape of cloud computing, analytics, and autonomy. This lack of connectivity leaves operators with higher costs, inefficient maintenance, and limited visibility into how their assets are really performing.

The traditional approach to equipment design is no longer enough. Oper...

Scheduling in oil and gas has long been a weak link. Wells, rigs, frack crews, contractors, and regulators must all line up in precise sequence, but too often the "system" is stitched together with Excel spreadsheets, siloed tools, and a lot of human memory. The result is inefficiencies, costly delays, and endless arguments in daily meetings.

That model is no longer good enough. The complexity of modern operations, coupled with vol...

The oil and gas industry generates extraordinary amounts of data from millions of sensors, yet only a tiny fraction, at most  8%, is actually used to inform decisions on complex and valuable assets. Decades of building analytics and machine learning solutions have helped, but they've also left companies with a patchwork of siloed systems and "industrial gridlock."

The arrival of foundation models in late...

Water is the unsung workhorse of the oil and gas industry. It's instrumental for generating steam, driving b, lubricating drill bits, flooding reservoirs, and separating oil from oil sands. Historically it's been cheap, plentiful, and overlooked. As climate pressures mount and scarcity becomes real, water is now emerging as one of the industry's most critical resources.

Water isn't just another utility, ...

The industrial sector faces a growing challenge: how to train a rapidly evolving, inexperienced workforce to safely and effectively operate aging and complex infrastructure. Traditional training tools like PowerPoint presentations and passive classroom learning

In energy and manufacturing, vast volumes of unstructured data (think OEM manuals, maintenance logs, shift notes, correspondence, procedures), sit largely untapped. For decades, experienced technicians have compensated by carrying critical knowledge i...

Why is a pug named Phoebe likely more qualified than your frontline crew? 

In the oil and gas industry, online training and certification have become the norm. Let's agree it's convenient, cost-effective, and scalable. But what if the people taking that training are subverting the training using AI, or aren't people at all?

Digital tools, especially generative AI, ar...